Senior Data Engineer - Cloud Data Pipelines & Security

Blue Shield of CA; Phoenix (AZ); On-site; USD 120,000 - 150,000; Full time

Job summary

Blue Shield of CA is seeking a Senior Data Engineer to design, build, and operate complex data pipelines and cloud data solutions. You will lead hands-on initiatives, embed security and automation in the SDLC, and drive production readiness and reliability.

The role emphasizes collaboration, engineering best practices, and continuous improvement across people, process, and technology in a data-driven enterprise.

Qualifications

• Requires a bachelor's degree or equivalent experience.
• Minimum 5 years of relevant data engineering experience.
• Strong hands-on experience with SQL, including scripting and automation.
• Expertise with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory.
• Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal.
• Solid knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality.
• Experience implementing CI/CD pipelines (e.g., Bitbucket, GitHub).
• Strong understanding of agile delivery methodologies and enterprise cloud integration.
• Excellent communication skills with the ability to translate technical solutions to non-technical stakeholders.
• Experience in healthcare or regulated environments, including Epic ecosystem exposure preferred.
• Awareness of data governance, security standards, and production certification processes.

Skills

SQL scripting

Azure cloud

dbt

Snowflake

Databricks

Airflow

Tidal

Data Vault 2.0 modeling

CI/CD pipelines

Agile delivery

Communication skills

Healthcare/regulatory experience

Education

Bachelor's degree or equivalent experience

Tools

Bitbucket

GitHub

Epic ecosystem

Job description

Blue Shield of CA is seeking a Senior Data Engineer to design, build, and operate complex data pipelines and cloud data solutions. You will lead hands-on initiatives, embed security and automation in the SDLC, and drive production readiness and reliability.

The role emphasizes collaboration, engineering best practices, and continuous improvement across people, process, and technology in a data-driven enterprise.